Thomson Reuters is hiring a Manager, Lead Research Scientist, LLM Agents (Foundational Research) to lead a diverse global team of experts in foundational machine learning research. You will innovate and create state-of-the-art Agent AI/LLM Agent approaches, guiding projects through the entire research and model development lifecycle.
What You'll Do
- Lead strategic planning, hiring, and management within foundational research.
- Master management skills, mentor team members, and help direct reports grow.
- Innovate and create new state-of-the-art Agent AI/LLM Agent approaches.
- Contribute ideas and work on solving real-world challenges using data in agentic contexts.
- Engage in the entire research lifecycle: brainstorming, coding, testing, and delivering high-quality reports.
- Collaborate with a global team of research engineers and academic partners.
- Actively share technical findings through seminars, lectures, conferences, publications, or by sharing technical assets.
What We're Looking For
- PhD in a relevant discipline.
- 3+ years of hands-on experience leading teams building advanced ML/NLP/AI systems in academia or industry.
- Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) with specific focus on agent systems, tool use, or multi-agent coordination.
- Familiarity with one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).
- Experience in ML Research beyond completing a PhD (e.g., supervision, industry experience, leading academic initiatives).
- Excellent communication skills to report and present research findings clearly, both orally and in writing.
- Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions.
- Good social skills and ability to motivate, inspire and mentor team members.
- Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.
Nice to Have
- High-impact publications in top-tier conferences or other influence in the research community.
- 5+ years of hands-on experience leading teams building advanced ML/NLP/IR systems.
- Extensive experience with deep learning and large-scale model training.
- Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts.
- Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery.
- Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
Technical Stack
- PyTorch, JAX, TensorFlow
- Amazon AWS, MS Azure, Google Cloud
Team & Environment
You will lead a diverse global team of experts as a Manager within the Foundational Research division, collaborating with TR Labs (applied research division), academic partners, and subject matter experts.
Benefits & Compensation
- Compensation range: $157,500 - $292,500
- On-the-job coaching and learning with access to cutting-edge methods and technologies.
- Access to large datasets (over 60,000 TBs of legal, regulatory, news, and tax data) and all major cloud computing platforms.
- Flex My Way policies for work-life balance, including work from anywhere for up to 8 weeks per year.
- Grow My Way programming and skills-first approach for career development.
- Comprehensive benefit plans including flexible vacation, two company-wide Mental Health Days off, access to Headspace app.
- Retirement savings, tuition reimbursement, employee incentive programs.
- Two paid volunteer days off annually and opportunities for pro-bono consulting and ESG initiatives.
- Market competitive health, dental, vision, disability, and life insurance programs.
- Competitive 401k plan with company match.
- Parental leave, sabbatical leave.
- Fitness reimbursement, Employee Assistance Program, Group Legal Identity Theft Protection, access to 529 Plan, commuter benefits, Adoption & Surrogacy Assistance, Tuition Reimbursement, Employee Stock Purchase Plan.
Work Mode
This is a hybrid role based in the US, with a flexible environment requiring 2-3 days a week in the office.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees. We seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification.
